Evaluation of the impact of climate change on reference crop evapotranspiration in Hamedan-Bahar plain

2021 ◽  
Vol 11 (3) ◽  
pp. 333
Author(s):  
Hossein Talebmorad ◽  
Jahangir Abedi Koupai ◽  
Saeid Eslamian ◽  
Sayed Farhad Mousavi ◽  
Samira Akhavan ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Evapotranspiration ◽  
Reference Crop Evapotranspiration ◽  
Impact Of Climate Change ◽  
The Impact ◽  
Reference Crop

Evaluation of the impact of climate change on reference crop evapotranspiration in Hamedan-Bahar plain

2021 ◽  
Vol 11 (3) ◽  
pp. 333
Author(s):  
Vijay P. Singh ◽  
Sayed Farhad Mousavi ◽  
Kaveh Ostad Ali Askari ◽  
Samira Akhavan ◽  
Saeid Eslamian ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Evapotranspiration ◽  
Reference Crop Evapotranspiration ◽  
Impact Of Climate Change ◽  
The Impact ◽  
Reference Crop

scholarly journals Impacts of Climatic Change on Reference Crop Evapotranspiration across Different Climatic Zones of Ningxia at Multi-Time Scales from 1957 to 2018

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Ziyang Zhao ◽  
Hongrui Wang ◽  
Cheng Wang ◽  
Wangcheng Li ◽  
Hao Chen ◽  
...  
Keyword(s):  
Water Management ◽  
Time Scales ◽  
Air Temperature ◽  
Climatic Factors ◽  
Crop Evapotranspiration ◽  
Climatic Zones ◽  
Reference Crop Evapotranspiration ◽  
Short Period ◽  
The Impact ◽  
Reference Crop

The impact of global climate change on agroecosystems is growing, affecting reference crop evapotranspiration (ET0) and subsequent agricultural water management. In this study, the climate factors temporal trends, the spatiotemporal variation, and the climate driving factors of ET0 at different time scales were evaluated across the Northern Yellow River Irrigation Area (NYR), Central Arid Zone (CAZ), and Southern Mountain Area (SMA) of Ningxia based on 20 climatic stations’ daily data from 1957 to 2018. The results showed that the Tmean (daily mean air temperature), Tmax (daily maximum air temperature), and Tmin (daily minimum air temperature) all had increased significantly over the past 62 years, whilst RH (relative humidity), U2 (wind speed at 2 m height), and SD (sunshine duration) had significantly decreasing trends across all climatic zones. At monthly scale, the ET0 was mainly concentrated from April to September. And at annual and seasonal scales, the overall increasing trends were more pronounced in NX, NYR, and SMA, while CAZ was the opposite. For the spatial distribution, ET0 presented a trend of rising first and then falling at all time scales. The abrupt change point for climatic factors and ET0 series was obtained at approximately 1990 across all climatic zones, and the ET0 had a long period of 25a and a short period of 10a at annual scale, while it was 15a and 5a at seasonal scale. RH and Tmax were the most sensitive climatic factors at the annual and seasonal scales, while the largest contribution rates were Tmax and SD. This study not only is important for the understanding of ET0 changes but also provides the preliminary and elementary reference for agriculture water management in Ningxia.

scholarly journals A New Method to Estimate Reference Crop Evapotranspiration from Geostationary Satellite Imagery: Practical Considerations

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 382 ◽  
Author(s):  
Henk de Bruin ◽  
Isabel Trigo
Keyword(s):  
Geostationary Satellite ◽  
Total Solar Radiation ◽  
Crop Evapotranspiration ◽  
Reference Crop Evapotranspiration ◽  
Main Driver ◽  
Scarce Water ◽  
Meteorological Observations ◽  
The Impact ◽  
Reference Crop ◽  
Stressed Surface

Reference crop evapotranspiration (ETo) plays a role in irrigation advisory being of crucial importance for water managers dealing with scarce water resources. Following the ETo definition, it can be shown that total solar radiation is the main driver, allowing ETo estimates from satellite observations. As such, the EUMETSAT LSA-SAF operationally provides ETo primarily derived from the European geostationary satellite MSG. ETo estimations following the original FAO report require several meteorological observations gathered over actual well-watered grass. Here we will consider the impact of two effects on ETo using the LSA-SAF and FAO methodologies: (i) local advection, related to the impact of advection of surrounding warm dry air onto the reference non-water stressed surface; and (ii) the so-called surface aridity error, which occurs when calculating ETo according to FAO, but with input data not collected over well-watered grass. The LSA-SAF ETo is not sensitive to any of these effects. However, it is shown that local advection may increase evapotranspiration over a limited field by up to 30%, while ignoring aridity effects leads to a great overestimation. The practical application of satellite estimates of ETo provided by the LSA-SAF are discussed here, and, furthermore, water managers are encouraged to consider its advantages and ways for improvement.

Sensitivity of Reference Crop Evapotranspiration in Shaanxi Province

2014 ◽  
Vol 700 ◽  
pp. 374-385
Author(s):  
Yue Song ◽  
Xiao Ling Su
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Shaanxi Province ◽  
Shanxi Province ◽  
Crop Evapotranspiration ◽  
Reference Crop Evapotranspiration ◽  
Daily Sunshine ◽  
The Impact ◽  
Reference Crop ◽  
Sunshine Hour

Reference crop evapotranspiration (ET0) is a key to estimate crop water requirements, and also an important component of irrigation schedule and water resources planning, sensitivity analysis are crucial in assessing the impact of climate changes inET0estimations. In this study, based on the daily meteorological data of 18 meteorological stations in Shanxi Province from 1961 to 2000, the dailyET0values were calculated using Penman-Monteith equation recommended by FAO-56. The trends of climate variables were detected by using Mann-Kendall test. Sensitivity coefficients were employed to predict responses ofET0to five climatic variables, combined with annual of meteorological factors quantitative analysis ofET0changes. The results show that statistically significant decreasing trends are observed in wind and daily sunshine hours in Guanzhong and southern Shaanxi. Relative humidity has a significant decreasing trend in northern Shaanxi. In general,ET0value is on the decline; relative humidity is the most sensitive variable, followed by solar radiation, daily sunshine hour, wind speed and mean temperature. The change ofET0is primarily attributed to the significantly decreasing in wind speed and sunshine hour.

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